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Angela Leo, Andrew M. Walker, Matthew S

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1 A GC-Wave Correction Algorithm that Improves the Analytical Performance of aCGH 
Angela Leo, Andrew M. Walker, Matthew S. Lebo, Brant Hendrickson, Thomas Scholl, Viatcheslav R. Akmaev  The Journal of Molecular Diagnostics  Volume 14, Issue 6, Pages (November 2012) DOI: /j.jmoldx Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

2 Figure 1 A: Scatterplot of log-ratio versus GC-content for each probe on an array. The linear regression (line and equation) demonstrates the trend between log-ratio signal and GC-content. Scatterplots of the same data for probes mapping to chromosome (Chr) 6 (B) and Chr 9 (C) that illustrate the variability of the slope and intercept of the regression between individual chromosomes in the same sample. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

3 Figure 2 cghSAM correction strategy. A: Step 1 correction: the cghSAM algorithm calculates the median GC percentage for all probes on each chromosome. The log-ratio baseline for a particular chromosome is determined using its slope and intercept. Individual probe log-ratios are adjusted by their correction factor (the difference between the solid and dashed lines). B: Step 2 correction: some chromosome medians may be skewed above or below the baseline owing to GC-content. Chromosomal adjustment is used to correct the bias. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

4 Figure 3 Exclusion of aberrant chromosomes. A schematic representation of the exclusion of potentially aberrant anchor chromosomes from calculation of the cghSAM chromosomal correction factor e*. Three chromosomes are shown. The chromosome in the top panel harbors a segmental duplication, represented by the dotted line. This aberration skews the median probe log-ratio for the chromosome (dashed line) from the expected value of zero (solid line). The chromosomes in the middle and bottom panels have median probe log-ratios slightly above or below zero owing to GC-bias, but they harbor no aberrations. The sum of all the median log-ratios is minimized to determine an outlier chromosome (in this case the chromosome in the top panel). This is done to ensure that overcorrection does not result from use of an aberrant chromosome in the correction factor. After the chromosome in the top panel is eliminated from the e* calculation, e* is used to correct all chromosomes based on their anchor profiles. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

5 Figure 4 Precorrection and postcorrection data from three arrays with GC-waves. Three examples of diploid aCGH data before (A, D, and G) and after (B, E, and H) cghSAM correction show the results for individual probes on the p arm of chromosome (Chr) 19 for varying GC-wave amplitudes (A>D>G; also see the GC correction slope in the top right corner of the panels). Data from probes with log-ratios >0.5 or <−0.5 are displayed in red. The top sample contained a false-positive duplication call that was removed after correction (red line in A versus B). C, F, and I: The effect of cghSAM across the whole array for the same specimens is shown as histograms of probe number (x axis) versus log-ratios (y axis) before (gray) and after (black) correction. J: The results from the histograms are quantified to show the average (Avg) and SD of log-ratios (LRs) before and after correction for all probes on the arrays. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

6 Figure 5 Plot of log-ratios at the GSTT1 locus. Plot of the average log-ratios for a 10-probe region covering the GSTT1 locus in 215 samples (triangles, called deletions; plus signs, called amplifications; and squares, no aberration call). Red plus signs denote samples that were not called before cghSAM correction but that were called after correction (n = 25 total). The trimodal distribution density is displayed under the plot. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

7 Figure 6 ADM2 sensitivity for deletion calling was modeled as a function of probe number. Probes located on the X chromosome were binned in sets of 5 to 50 probes in samples hybridized with a female sample and a male reference (one X chromosome in the reference to two X chromosomes in the sample) to emulate a heterozygous deletion (a copy number change from two copies in the reference to one copy in the sample) and to understand variability in probe performance. The model is applicable because the absolute value of log2(2/1) is equal to the absolute value of log2(1/2). The mean deletion detection sensitivity with ADM2 set to 10.4 (dashed line) (the postcorrection score threshold) and 12.9 (solid line) (the precorrection score threshold) is pictured, with the error bars denoting ±1 SD. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

8 Figure 7 Increased mosaic aberration detection after correction. The solid line represents a mosaic deletion from Xq11 to Xq21 and a single copy loss from Xq22 to Xq28 detected before correction with cghSAM. The dashed line shows the expanded deletion call that encompasses an additional 1251 probe deletion from Xp23 to Xp11. The Journal of Molecular Diagnostics  , DOI: ( /j.jmoldx ) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions


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